BROWSER USE

- Browser Use Agents: give Browser Use a task and receive completed work. API V4 is current for new integrations.
- Browser Infrastructure: connect your agent or automation to managed browsers through SDK, REST, or CDP. Starts at $0.02/browser-hour.
- Developer tools: Open Source, Browser Harness, SDK, and MCP support the two products above.

[Developer Index](https://browser-use.com/index.md)
[Product Map](https://browser-use.com/llms.txt)
[Full Product Context](https://browser-use.com/llms-full.txt)
[Pricing](https://browser-use.com/pricing.md)
[Cloud Docs](https://docs.browser-use.com/cloud/quickstart)
[Open Source Docs](https://docs.browser-use.com/open-source/introduction)

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# Automate LinkedIn and X with an AI Browser Agent

## Work X and LinkedIn like a person would

Both platforms are hostile to automation and generous to a logged-in human. The agent is the second kind: it reads your feed, exports your own followers, drafts in the real composer, and stops before it posts.

### [Download My Latest 20 X Videos](https://browser-use.com/showcase/download-latest-20-x-videos)
x.com

### [Draft a LinkedIn Post](https://browser-use.com/showcase/draft-linkedin-post)
linkedin.com

### [Find a LinkedIn Contact](https://browser-use.com/showcase/find-linkedin-contact)
linkedin.com

### [Export 100 X Followers](https://browser-use.com/showcase/export-x-followers-to-csv)
x.com

### [Export 30 X Post Metrics](https://browser-use.com/showcase/export-x-post-metrics)
x.com

### [Prepare a LinkedIn Archive](https://browser-use.com/showcase/prepare-linkedin-network-archive)
linkedin.com

### [Extract latest posts on X](https://browser-use.com/showcase/find-latest-x-posts)
x.com

### [Draft a reply on X](https://browser-use.com/showcase/draft-reply-on-x)
x.com

### [Find 3 leads on LinkedIn](https://browser-use.com/showcase/find-linkedin-leads)
linkedin.com

### [Export my X posts for content planning](https://browser-use.com/showcase/save-x-posts)
x.com

### [Find relevant followers on X](https://browser-use.com/showcase/find-interesting-followers)
x.com

### [Download my latest 20 X videos](https://browser-use.com/showcase/collect-x-videos)
x.com

## Other things agents do

### [Data extraction](https://browser-use.com/showcase/category/data-extraction)

Portals, rendered tables, paginated lists and PDFs behind a search form. The agent opens the real page, follows the pagination, and hands back CSV or JSON with a source URL on every row.

### [Shopping & checkout](https://browser-use.com/showcase/category/shopping)

Unit prices instead of sticker prices, stock checked across twenty products at once, coupons tried one at a time at the real checkout. The agent stops before payment, every time.

### [Travel & booking](https://browser-use.com/showcase/category/travel)

Availability that only exists inside a live calendar widget, seat maps you have to read visually, walking distances you have to check on a map. These are the flows a scraper cannot see.

### [Testing & QA](https://browser-use.com/showcase/category/testing)

No selectors to maintain and no test script to rewrite when the DOM moves. Describe the flow in a sentence, get screenshots, console errors and a prioritised fix list back.

### [Research](https://browser-use.com/showcase/category/research)

Regulators, clinical registries, academic publishers and city halls. Sources that are public but not queryable, where the answer is three clicks deep in a form nobody has an API for.

### [Companies & jobs](https://browser-use.com/showcase/category/companies)

Directories, portfolio pages, exhibitor lists and job boards, turned into a deduplicated table with every claim traced back to the page it came from.

### [Agent workflows](https://browser-use.com/showcase/category/workflows)

Four browsers at once, a task that runs every weekday at eight, a workflow saved as a reusable skill, a logged-in session that stops before anything irreversible.

### [Games & real-time](https://browser-use.com/showcase/category/games)

Tetris, chess, GeoGuessr, powerline.io. Not a benchmark - a demonstration that the agent can read a board that changes faster than it can think and still act on it.